scholarly journals Influence of marital status on small intestinal adenocarcinoma survival: an analysis of the Surveillance, Epidemiology, and End Results (SEER) database

2018 ◽  
Vol Volume 10 ◽  
pp. 5667-5676 ◽  
Author(s):  
Zhihui Chen ◽  
Ji Cui ◽  
Weigang Dai ◽  
Hong Yang ◽  
Yulong He ◽  
...  
Keyword(s):  
Marital Status ◽  
Seer Database ◽  
Small Intestinal ◽  
Small Intestinal Adenocarcinoma ◽  
End Results

Differences in cancer amputee survival based on marital status: an analysis of the Surveillance, Epidemiology, and End Results (SEER) database

2021 ◽  
pp. 1-10
Author(s):  
Talha Ayaz ◽  
Saul Fredrickson ◽  
Kevin O’Mary ◽  
Megna A. Panchbhavi ◽  
Vinod K. Panchbhavi
Keyword(s):  
Marital Status ◽  
Seer Database ◽  
End Results

Marital status and survival in patients with rectal cancer: An analysis of the Surveillance, Epidemiology and End Results (SEER) database

2018 ◽  
Vol 54 ◽  
pp. 119-124 ◽  
Author(s):  
Xiangyang Wang ◽  
Weilan Cao ◽  
Chenguo Zheng ◽  
Wanle Hu ◽  
Changbao Liu
Keyword(s):  
Rectal Cancer ◽  
Marital Status ◽  
Seer Database ◽  
End Results

scholarly journals The Influence of Marital Status on Survival in Patients with Nasopharyngeal Carcinoma: A Surveillance, Epidemiology, and End Results (SEER) Database Analysis

2019 ◽  
Author(s):  
Bin Yu ◽  
Hong Ning ◽  
Shan Xu ◽  
Li Qin ◽  
Bin-wei Lin ◽  
...  
Keyword(s):  
Prognostic Factor ◽  
Nasopharyngeal Carcinoma ◽  
Marital Status ◽  
Psychosocial Support ◽  
Independent Prognostic Factor ◽  
Elderly Subjects ◽  
Seer Database ◽  
Increased Risk ◽  
Cox Proportional Hazard Regression ◽  
End Results

Abstract Purpose: To assess the influence of marital status on survival in patients with nasopharyngeal carcinoma (NPC). Methods: We used the Surveillance, Epidemiology, and End Results (SEER) database to analyze 5477 patients who were diagnosed with NPC from 2004 to 2016. Kaplan–Meier survival analysis and Cox proportional hazard regression were used to analyze the influences of marital status on cause-specific survival (CSS) and overall survival (OS). Subgroup analyses was used to assess the influences of marital status on CSS based on different factors. Results: The 5477 patients were divided into three groups, with 61.5%, 22.4%, and 16.1% of patients being married, single/unmarried, and separated/widowed/divorced, respectively. The separated/widowed/divorced group were more likely to be female ( P <0.001); had the highest proportion of elderly subjects ( P <0.001); were mostly Caucasian ( P <0.001); had pathological grading I/II ( P <0.001); were likely to receive surgery ( P =0.032); and were registered at the northeast, north central, and south ( P < 0.001) regions. The 5-year CSS was 92.6%, 92.4%, and 85.1% in the married, single/unmarried, and separated/widowed/divorced groups, respectively ( P <0.001); and respective 5-year OS was 60.7%, 54.6%, and 40.1% ( P <0.001). Marital status was the independent prognostic factor for NPC. Compared with married patients, separated/widowed/divorced patients had a significantly increased risk of NPC-related death (hazard ratio [HR]=2.180, 95% confidence interval [CI] 1.721–2.757, P <0.001). The single/unmarried ( P =0.355) group had a similar CSS as that of the group. Conclusion: Marital status is an independent prognostic factor for survival of NCP patients. Separated/widowed/divorced status increases the risk of NPC mortality; hence, more social and psychosocial support should be given to patients who are separated, widowed, or divorced.

scholarly journals The impact of marriage on the overall survival of prostate cancer patients: A Surveillance, Epidemiology, and End Results (SEER) analysis

2018 ◽  
Vol 13 (5) ◽  
Author(s):  
Yu Liu ◽  
Qi Xia ◽  
Jianling Xia ◽  
Hua Zhu ◽  
Haihong Jiang ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Marital Status ◽  
Cancer Patients ◽  
The Other ◽  
Seer Database ◽  
Chi Square ◽  
Kaplan Meier ◽  
Cox Proportional Hazard Models ◽  
The Impact ◽  
End Results

Introduction: Marital status has long been associated with positive patient outcomes in several malignances; however, little is known about its influence on prostate cancer. We analyzed data from the Surveillance, Epidemiology, and End Results (SEER) database to evaluate whether married patients with prostate cancer had a better prognosis than unmarried patients. Methods: We identified 824 554 patients diagnosed with prostate cancer between 1973 and 2012 in the SEER database. Using the Cox proportional hazard models, we analyzed the impact of marital status (single, married, divorced/separated, and widowed) on survival after diagnosis with prostate cancer. Chi-square tests were used to analyze the association between marital status and other variables, and the Kaplan-Meier method was used to estimate survival curves. Results: Married men were more likely to be diagnosed with a lower Gleason score and undergo surgery than patients in the other groups (p<0.001). The married group had a lower risk of mortality caused by prostate cancer than the other groups. The five-year survival rate for married patients was higher than that for patients in the other groups. Conclusions: Marital status is a prognostic factor for the survival of prostate cancer patients, as being married was associated with better outcomes.

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